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ORCIDSunghwan Kim 0003
Person information
- affiliation: Konkuk University, Department of Applied Statistics, Seoul, South Korea
- affiliation (former): Korea University, Department of Statistics, Seoul, South Korea
- affiliation (former): Keimyung University, Department of Statistics, Daegu, South Korea
Other persons with the same name
- Sunghwan Kim — disambiguation page
- Sunghwan Kim 0001
![[0000-0003-1762-5915]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1762-5915")
— University of Ulsan, School of Electrical Engineering, South Korea - Sunghwan Kim 0002 — National Institutes of Health, Bethesda, MD, USA
- Sunghwan Kim 0004 — Gwangju Institute of Science and Technology, School of Electrical Engineering and Computer Science, South Korea
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2020 – today
- 2024
[j15]Haejun Jeong, Haejun Moon, Yongho Jeong, Heejae Kwon, Chanyeong Kim, Yonghak Lee, SeongMin Yang, Sunghwan Kim:
Automated Technology for Strawberry Size Measurement and Weight Prediction Using AI. IEEE Access 12: 14157-14167 (2024)- 2023
- [j14]Yongrae Kim, Hyunmin Gwak, Jaehoon Oh, Minho Kang, Jinkyu Kim, Hyun Kwon, Sunghwan Kim:
CloudNet: A LiDAR-Based Face Anti-Spoofing Model That Is Robust Against Light Variation. IEEE Access 11: 16984-16993 (2023) - [j13]Kyoungmin Ko, Sunghwan Kim, Hyun Kwon:
Multi-targeted audio adversarial example for use against speech recognition systems. Comput. Secur. 128: 103168 (2023) - 2022
- [j12]Hyun Kwon, Kyoungmin Ko, Sunghwan Kim:
Optimized Adversarial Example With Classification Score Pattern Vulnerability Removed. IEEE Access 10: 35804-35813 (2022) - 2021
- [j11]Kyoungmin Ko, Hyunmin Gwak, Nalinh Thoummala, Hyun Kwon, Sunghwan Kim:
SqueezeFace: Integrative Face Recognition Methods with LiDAR Sensors. J. Sensors 2021: 1-8 (2021) - [j10]JiSeong Han, Kichun Jo, Wontaek Lim, YongHak Lee, Kyoungmin Ko, Eunseon Sim, Junsang Cho, Sunghwan Kim:
Reinforcement Learning Guided by Double Replay Memory. J. Sensors 2021: 6652042:1-6652042:8 (2021) - [j9]SungMin Suh, Yongeun Park, Kyoungmin Ko, SeongMin Yang, Jaehyeong Ahn, Jae-Ki Shin, Sunghwan Kim:
Weighted Mask R-CNN for Improving Adjacent Boundary Segmentation. J. Sensors 2021: 8872947:1-8872947:8 (2021) - 2020
- [j8]Jung-Jun Lee, Jae-Hwan Jhong, Young-Rae Cho, Sunghwan Kim, Ja-Yong Koo:
Penalized log-density estimation using Legendre polynomials. Commun. Stat. Simul. Comput. 49(11): 2844-2860 (2020) - [j7]SeHee Jung, SungMin Yang, Eunseok Lee, YongHak Lee, Jisun Ko, Sungjae Lee, Junsang Cho, Jaehwa Lee, Sunghwan Kim:
Estimation of Particulate Levels Using Deep Dehazing Network and Temporal Prior. J. Sensors 2020: 8841811:1-8841811:9 (2020)
2010 – 2019
- 2019
- [j6]Jayeon Lim, SoYoun Bang, Jiyeon Kim, Cheolyong Park, Junsang Cho, Sunghwan Kim:
Integrative Deep Learning for Identifying Differentially Expressed (DE) Biomarkers. Comput. Math. Methods Medicine 2019: 8418760:1-8418760:10 (2019) - [j5]Sunghwan Kim, SeHee Jung, SeongMin Yang, JiSeong Han, ByungYong Lee, Jaehwa Lee, Sung Won Han:
Vision-Based Deep Q-Learning Network Models to Predict Particulate Matter Concentration Levels Using Temporal Digital Image Data. J. Sensors 2019: 9673047:1-9673047:10 (2019) - [c1]JiSeong Han, Gwangsu Kim, ChanSeo Lee, YeongKwang Han, Ung Hwang, Sunghwan Kim:
Predictive Models of Fire via Deep learning Exploiting Colorific Variation. ICAIIC 2019: 579-581 - 2018
- [j4]Jung-Jun Lee, Sunghwan Kim, Jae-Hwan Jhong, Ja-Yong Koo:
Variable Selection and Joint Estimation of Mean and Covariance Models with an Application to eQTL Data. Comput. Math. Methods Medicine 2018: 4626307:1-4626307:13 (2018) - 2017
- [j3]Sunghwan Kim, Jae-Hwan Jhong, Jung-Jun Lee, Ja-Yong Koo:
Meta-analytic support vector machine for integrating multiple omics data. BioData Min. 10(1): 2:1-2:14 (2017) - [j2]Sunghwan Kim, Jae-Hwan Jhong, Jung-Jun Lee, Ja-Yong Koo:
Erratum to: Meta-analytic support vector machine for integrating multiple omics data. BioData Min. 10(1): 8:1-8:2 (2017) - [j1]Sunghwan Kim, Jae-Hwan Jhong, Jung-Jun Lee, Ja-Yong Koo, ByungYong Lee, Sungwon Han:
Node-Structured Integrative Gaussian Graphical Model Guided by Pathway Information. Comput. Math. Methods Medicine 2017: 8520480:1-8520480:10 (2017)
Coauthor Index
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